Method and system for automatically deriving quantitative deep learning best value index data

Abstract

A method and system for automatically deriving and analyzing quantitative Deep Learning Best Value Index data is provided. The method and system to rank business processes based on multi-factorials and multi-facets parameters of best practice and using Artificial Intelligence (AI) to interpret and verify commonly used individual parameter data-points for specific business processes, weighted with predefined order and class (ranking), in which the sum of the total weight of all the parameters will be the dynamically morphing, applying AI deep learning output to create a dynamic value index (BVI—Best Value Index).

1 . A system for automatically deriving and analyzing quantitative Best Value Index data comprising:
 a first computer for calculating a Best Value Index Artificial Intelligence based data analytic algorithms that perform dynamic weighing of a Bayesian system logic to provide users with inference of best options based on user preferences and the BVI deep learning capability;   a second computer incorporating artificial intelligence for interpreting the digital Best Value Index data and dynamic user data; and   wherein the second computer generates custom user guided option sets based on their previous experiences as well as new dynamic questionnaires generated for specific line of business.)   
     
     
         2 . A system for translating and interpreting Artificial Intelligence derived qualitative and quantitative data obtained on-line, wherein the system:
 classifies, categorizes and analyzes the Artificial Intelligence obtained on-line and validates and standardizes the data into values and indices that relate to a degree of difficulty in specific problem/case.   
     
     
         3 . The system of  claim 2  further comprising:
 the processing and mapping of the indices to standardized coding for treating ADA CDT codes and or SNODENT/SNOMED which can be utilized for further processing to optimize a Best Value Index.